A powerful weapon for getting a job in semiconductor process, data analysis

Stop taking encyclopedic lectures that try to cover everything! An introductory Python course that gathers only the core of the core for stress-free learning!

A course chosen by 3,000 students! Updated to GPT-5 version! How far can you go with ChatGPT? Create automated stock trading applications and web investment reports!

No more encyclopedia-style lectures from A to Z! A reference-style lecture that gathers only the essentials you can apply directly to real-world practice!

No more lectures that start with boring grammar! Python practical application examples that jump straight into use

The "How Far Can You Go with ChatGPT?" series: Creating a Stock Auto-Trading Application and Web Investment Reports!

Through this lecture, students are expected to be able to check actual materials such as big data contests and self-introduction essays and determine the direction of their studies and job preparation.

ADsP Certification All-In-One Course! Ultra-Short Completion! Reference Book: "Everyone's ADsP Cheat Sheet" https://wikidocs.net/book/18829

Do you have the data but feel overwhelmed about how to read and process it in Python? Don't worry. You can handle it with the magic of Pandas. Pandas is the most powerful, efficient, and useful data processing library. Skill-UP your data preprocessing with Pandas! Get instant insights!

An easy-to-understand introduction to data lecture by Korea's first data humanist, Shin Do-yong! Let's learn data-based thinking to properly read and utilize massive amounts of data!

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

The Big Data Analysis Engineer exam is a nationally recognized certification exam held twice a year. For those preparing for the exam, we provide detailed lectures covering essential topics from the basics onward. The exam becomes more difficult with each round. To help you pass, we cover a range of important topics starting from the fundamentals to improve your chances of success.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

ADsP Summary + Past Exam Solutions. Reflects August 2025 46th Exam! (Continuously Updated!)

This course focuses on developing practical visualization skills that can be immediately applied in the workplace by utilizing Seaborn, a core tool for data visualization, and plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can enhance both your ability to create insight-driven visual materials and implement web-based dashboards.

Students who want to learn Hadoop and Big Data will celebrate the amazing advancements in experiencing the world of Big Data through this course!

With step-by-step explanations that even beginners can easily understand, the once-vague coding tests will become clear. Learn only what you need and apply it to real-world practice right away!

If you are curious about the various possibilities and future prospects of generative AI, including ChatGPT and Clova X, that can be used for data analysis, come to our seminar this May!

Contains the growth history and know-how of portal company N, which achieved rapid growth through cloud services.

Daily repetitive tasks like organizing emails, writing reports, and summarizing data... Do humans really need to do these manually? Does ChatGPT feel like it's just for chatting, and does automation seem too difficult? But even without coding, you can build practical automations in just 1 hour. This is a practical course designed to help non-developers automate workflows and reduce repetitive daily tasks using n8n and AI. By following along, you will create automation workflows that can be applied at work immediately. We've cut out the fluff and included only what you truly need. You will experience a transformation in the way you work, starting today.

In this course, you can master prompt engineering techniques that can be applied immediately in practice using the OpenAI API. You will learn how to simultaneously improve efficiency and productivity in your daily life and work. In particular, we support you in gaining confidence for interviews by automating the creation of customized resumes and cover letters for your desired companies, as well as preparing for mock interviews.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.

This lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

This course was created based on my personal experience passing the very first revised Information Processing Engineer practical exam, which had a pass rate of only 5.34%. The Information Processing Engineer practical exam can no longer be prepared for through simple memorization alone. In particular, the ability to read the execution flow of C, Java, Python, and SQL code to track results, as well as the ability to accurately distinguish short-answer concepts and write them as answers, has become crucial. This course is structured to help even beginners who are new to programming follow along step-by-step, covering everything from creating variable tables to tracking C, Java, Python, and SQL code, core practical terminology, and written exam subjects 1 through 5. Rather than being a video-centered course, this is a text-based course designed for fast reading and repeated review. It makes it easy to look up necessary parts again and focuses on practicing how to derive answers at the testing center by following the code and explanations directly. The 1st update covers the practical programming sections: C, Java, Python, and SQL. The 2nd update will organize core terms and concepts required for the short-answer practical questions and provide a "Stepper Simulator" to practice code tracking directly. The 3rd update will sequentially expand to cover written exam subjects 1 through 5. The Stepper Simulator is designed so that you don't just stop at reading explanations; you can understand how variable values change as the code executes line by line by following along yourself. If you have any questions while taking the course, please leave them in the Q&A. I will respond as quickly as possible to ensure your learning doesn't get stuck.

This is the easiest introductory course for those new to information security. You can get a feel for real-world tasks by experiencing the five core roles: planning, development, operations, assessment, and monitoring. Start building your own career roadmap for employment or a career transition.

I'll explore ADsP certification passing strategies and learn summarized memorization subjects. Reference book: "Everyone's ADsP Cheat Sheet" https://wikidocs.net/book/18829